python_runtime

Execute Python code in a sandbox and inspect workspace CSV data.

Updated Mar 20, 2026
One-click install
npx skills add https://github.com/Nabil-Mabrouk/0HITL --skill python-runtime-nabil-mabrouk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python_runtime
Source: https://github.com/Nabil-Mabrouk/0HITL/tree/main/skills/python_runtime
Command: npx skills add https://github.com/Nabil-Mabrouk/0HITL --skill python-runtime-nabil-mabrouk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Safely execute small Python snippets and run existing workspace scripts within a sandbox, enabling rapid experimentation without risking the main runtime.

Core Features & Use Cases

  • Run Python snippets with run_python for quick experimentation.
  • Execute existing workspace scripts via run_python_file.
  • Inspect CSV files in the workspace with inspect_csv to view schema, samples, and basic statistics.
  • Use case: quickly validate a data cleaning script against a sample CSV without leaving the sandbox.

Quick Start

Run a quick Python snippet with run_python to test logic, or inspect a CSV with inspect_csv to explore its structure.

Frequently Asked Questions about python_runtime

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run Python scripts in a sandbox for quick data analysis?

You can run Python scripts in a sandbox using the run_python tool to execute snippets or run_python_file to run existing workspace scripts, enabling rapid experimentation without risking the main runtime.

Can I inspect CSV files to view schema and statistics without writing full scripts?

Yes, you can inspect CSV files using the inspect_csv tool to view schema, samples, and basic statistics directly within the workspace, avoiding the need to write full Python scripts for basic exploration.

Does this sandboxed Python execution environment require any external dependencies?

No external dependencies are required, but the environment needs a Python-based sandbox runtime to provide the tools for safely executing scripts and inspecting CSV files.

What is the best way to validate a data cleaning script against a sample CSV safely?

The best way to validate a data cleaning script is to use the sandbox to execute the script via run_python_file and simultaneously use inspect_csv to explore the structure of the sample CSV file.

Can I pass arguments to Python snippets when running them in the sandbox?

Yes, you can pass arguments to Python snippets during sandbox execution by using optional args_json payloads, which support parameterized executions for both run_python and run_python_file operations.